Evidence map›Paper›PMID 38598641›Full record

ArticleThe Journal of urology2024

Impact of Family History and Germline Genetic Risk Single Nucleotide Polymorphisms on Long-Term Outcomes of Favorable-Risk Prostate Cancer.

Florian Rumpf, Anna Plym, Jane B Vaselkiv, Kathryn L Penney, Mark A Preston, Adam S Kibel, Lorelei A Mucci, Keyan Salari

Abstract read
In one paragraph

Article in The Journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Florian RumpfDepartment of Urology, Massachusetts General Hospital, Boston, Massachusetts.
Anna PlymDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Jane B VaselkivDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Kathryn L PenneyDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Mark A PrestonDivision of Urology, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.
Adam S KibelDivision of Urology, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.
Lorelei A MucciDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Keyan SalariDepartment of Urology, Massachusetts General Hospital, Boston, Massachusetts.

Funding

Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
The Impact of DNA Damage Repair Abnormalities in Prostate CancerP01CA228696 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI OFFIT, KENNETH, POMERANTZ, MARK M. · 2019 to 2024
$8.7M
NCI NIH HHS P01 CA228696NCI NIH HHS U01 CA167552
6 · The paper itself

Abstract

purposeFamily history and germline genetic risk single nucleotide polymorphisms (SNPs) have been separately shown to stratify lifetime risk of prostate cancer. Here, we evaluate the combined prognostic value of family history of prostate and other related cancers and germline risk SNPs among patients with favorable-risk prostate cancer. MATERIALS AND

methodsA total of 1367 participants from the prospective Health Professionals Follow-up Study diagnosed with low- or favorable intermediate-risk prostate cancer from 1986 to 2017 underwent genome-wide SNP genotyping. Multivariable Cox regression was used to estimate the association between family history, specific germline risk variants, and a 269 SNP polygenic risk score with prostate cancer‒specific death.

resultsFamily history of prostate, breast, and/or pancreatic cancer was observed in 489 (36%) participants. With median follow-up from diagnosis of 14.9 years, participants with favorable-risk prostate cancer with a positive family history had a significantly higher risk of prostate cancer‒specific death (HR 1.95, 95% CI 1.15-3.32,

conclusionsFamily history of prostate, breast, or pancreatic cancer and/or a 19q13 germline risk allele are associated with an elevated risk of prostate cancer‒specific death among favorable-risk patients. These findings have implications for how family history and germline genetic risk SNPs should be factored into clinical decision-making around favorable-risk prostate cancer.

Indexed as

Genetic Predisposition to DiseaseGerm-Line MutationPolymorphism, Single NucleotideProstatic NeoplasmsAgedFollow-Up StudiesHumansMaleMiddle AgedPrognosisProspective StudiesRisk Assessmentactive surveillancefamily historygermline risk variantshereditary cancer syndromeprostate cancer

Identifiers

PMID38598641
PMCPMC11251859

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.